code: def test_choice_in_classification():
      evaluator = Classification(
          criterion=nn.CrossEntropyLoss, num_classes=2
      )
      assert len(evaluator.simplify()) == 0
      evaluator.freeze({})
  
imports: import re
  import sys
  import pytest
  import nni
  import nni.trial
  import torch
  import pytorch_lightning
  from nni.mutable import Categorical, Numerical, SampleValidationError
  from nni.mutable.mutable import _mutable_equal
  from nni.nas.evaluator import FunctionalEvaluator
  from nni.nas.evaluator.pytorch import Classification, Lightning, DataLoader, Trainer, LightningModule
  from nni.nas.evaluator.evaluator import FrozenEvaluator
  from torch import nn
  from torch.utils.data import TensorDataset
label_desc: Use image node_id 10 for calling a global function with example usage: test_choice_in_classification() without return types